Creator · thedotmack
Last updated · Sep 2, 2026
This skill should be used when the user asks to "set up claude-mem", "pair claude-mem", "connect cmem", "add my cmem key", "set up cloud sync in Cowork", or provides cmem.ai Connect values (sync token, user id, SyncHub URL) for this plugin. Configures the claude-mem-cowork plugin
Creator · thedotmack
Last updated · Sep 2, 2026
This skill should be used when the user asks to "set up claude-mem", "pair claude-mem", "connect cmem", "add my cmem key", "set up cloud sync in Cowork", or provides cmem.ai Connect values (sync token, user id, SyncHub URL) for this plugin. Configures the claude-mem-cowork plugin
Creator · thedotmack
Last updated · Sep 2, 2026
This skill should be used when the user asks to "set up claude-mem", "pair claude-mem", "connect cmem", "add my cmem key", "set up cloud sync in Cowork", or provides cmem.ai Connect values (sync token, user id, SyncHub URL) for this plugin. Configures the claude-mem-cowork plugin
Creator · thedotmack
Last updated · Sep 2, 2026
This skill should be used when the user asks to "set up claude-mem", "pair claude-mem", "connect cmem", "add my cmem key", "set up cloud sync in Cowork", or provides cmem.ai Connect values (sync token, user id, SyncHub URL) for this plugin. Configures the claude-mem-cowork plugin
Sandbox only
Install targets
Codex install prompt
Install the "mem-setup" agent skill from https://github.com/thedotmack/claude-mem/tree/main/cowork/skills/mem-setup. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: This skill should be used when the user asks to "set up claude-mem", "pair claude-mem", "connect cmem", "add my cmem key", "set up cloud sync in Cowork", or provides cmem.ai Connect values (sync token, user id, SyncHub URL) for this plugin. Configures the claude-mem-cowork plugin credentials. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"thedotmack-mem-setup","task":"Install mem-setup","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add thedotmack/claude-mem --skill mem-setup
Maintenance
fresh
4d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
93K
95/100 Quality · 80/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
93K GitHub stars
Repo activity
93K stars, 8.2K forks
Maintenance
4d since push
License
Apache-2.0
Install
npx skills add thedotmack/claude-mem --skill mem-setup
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add thedotmack/claude-mem --skill mem-setupDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20mem-setup%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20mem-setup%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/thedotmack-mem-setup/install
Agent should check
Copy prompt
Task: Use mem-setup in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20mem-setup%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/thedotmack-mem-setup/install
Install command: npx skills add thedotmack/claude-mem --skill mem-setup
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/thedotmack-mem-setup/install
LLM text format
/api/skills/thedotmack-mem-setup/install?format=text
Find alternatives
/api/skills/search?q=mem-setup&limit=3
Agent prompt
Use mem-setup for this task. Review https://www.openagentskill.com/api/skills/thedotmack-mem-setup/install, then install with: npx skills add thedotmack/claude-mem --skill mem-setupRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/thedotmack-mem-setup
LLM text
/api/registry/manifest/thedotmack-mem-setup?format=text
Install alias
/api/registry/install/thedotmack-mem-setup
Recommend
/api/registry/recommend?task=Use%20mem-setup%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS93K GitHub stars
Stars/forks activity
PASS93K stars, 8.2K forks; issue activity unavailable in current metadata
Recent maintenance
PASS4d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Run multimodal agents that operate desktop interfaces
Connect agents to hundreds of workflow automations
利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
--- name: mem-setup description: > This skill should be used when the user asks to "set up claude-mem", "pair claude-mem", "connect cmem", "add my cmem key", "set up cloud sync in Cowork", or provides cmem.ai Connect values (sync token, user id, SyncHub URL) for this plugin. Configures the claude-mem-cowork plugin credentials. metadata: version: "0.1.0" ---
# Claude-Mem Setup (Cowork pairing)
Configure this plugin with the user's own cmem.ai credentials so hooks can capture and inject memory. Anyone can pair — credentials are per-user configuration, never hardcoded in plugin logic.
## What to collect
From **cmem.ai → Connect**, the user has three values:
1. **sync token** (starts with `cm_`) — used as the bearer API key 2. **user id** (UUID) 3. **SyncHub URL** (a workers.dev or cmem.ai URL)
If the user pastes the whole Connect blurb, extract the three values from it. If any are missing, ask for the sync token at minimum — the other two are optional.
## Secret handling — non-negotiable
- Never echo the token back in conversation, put it in a shell argv, or log it. - Move it only via file writes (Write/Edit tool) and file reads.
## Steps
1. Locate the installed plugin root (this skill's own plugin). Update its `config.json`: set `apiKey` to the sync token, `userId`, and `syncHubUrl`. Leave other settings unless the user asks (`inject` toggles). Project naming is automatic (`cmem_work_*`) and is not configurable. 2. Cowork containers are ephemeral: edits to the installed copy last only for this session. To make pairing permanent, repackage — zip the plugin directory as `<plugin-name>.plugin` and send it to the user to re-install (the cowork-plugin skill's packaging flow). Tell the user this is why. 3. If this machine also has a local claude-mem install (a `~/.claude-mem/` directory exists), optionally write the same values to `~/.claude-mem/settings.json` with mode 0600 (`CLAUDE_MEM_CLOUD_SYNC_TOKEN`, `CLAUDE_MEM_CLOUD_SYNC_USER_ID`, `CLAUDE_MEM_CLOUD_SYNC_HUB_URL` keys — the same keys the local claude-mem cloud-sync pairing writes) — the hook script and the local worker both read it. 4. Verify without exposing the secret:
```bash node "${CLAUDE_PLUGIN_ROOT}/scripts/cmem-hook.mjs" status ```
Report the masked output. A `MISSING` key means the write didn't land; a 404 on `/api/hooks/context` is expected until the Pro endpoints deploy (search/injection still work via `/api/mcp`).
## Alternate source
Env vars override everything and need no file edits: `CMEM_API_KEY`, `CMEM_USER_ID`, `CMEM_SYNC_HUB_URL`, `CMEM_API_BASE`.
Source provenance
Decision snapshot
93,017 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for mem-setup, ready for a manual X post.
A practical pick for a repeatable workflow: mem-setup: This skill should be used when the user asks to "set up claude-mem", "pair claude-mem", "connect cmem", "add my cmem key",... 93.0K stars https://www.openagentskill.com/skills/thedotmack-mem-setup?ref=x
Listing + install path for mem-setup: https://www.openagentskill.com/skills/thedotmack-mem-setup?ref=x Install: npx skills add thedotmack/claude-mem --skill mem-setup
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to thedotmack but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/thedotmack-mem-setup?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/thedotmack-mem-setup?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/thedotmack-mem-setup/audit)
[](https://www.openagentskill.com/skills/thedotmack-mem-setup?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)thedotmack
@thedotmack
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
37.0K Starsn8n
Connect agents to hundreds of workflow automations
194.1K StarsMoneyPrinterTurbo
利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.
88.5K StarsTasmota
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
24.7K StarsSandbox only
Install targets
Codex install prompt
Install the "mem-setup" agent skill from https://github.com/thedotmack/claude-mem/tree/main/cowork/skills/mem-setup. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: This skill should be used when the user asks to "set up claude-mem", "pair claude-mem", "connect cmem", "add my cmem key", "set up cloud sync in Cowork", or provides cmem.ai Connect values (sync token, user id, SyncHub URL) for this plugin. Configures the claude-mem-cowork plugin credentials. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"thedotmack-mem-setup","task":"Install mem-setup","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add thedotmack/claude-mem --skill mem-setup
Maintenance
fresh
4d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
93K
95/100 Quality · 80/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
93K GitHub stars
Repo activity
93K stars, 8.2K forks
Maintenance
4d since push
License
Apache-2.0
Install
npx skills add thedotmack/claude-mem --skill mem-setup
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add thedotmack/claude-mem --skill mem-setupDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20mem-setup%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20mem-setup%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/thedotmack-mem-setup/install
Agent should check
Copy prompt
Task: Use mem-setup in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20mem-setup%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/thedotmack-mem-setup/install
Install command: npx skills add thedotmack/claude-mem --skill mem-setup
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/thedotmack-mem-setup/install
LLM text format
/api/skills/thedotmack-mem-setup/install?format=text
Find alternatives
/api/skills/search?q=mem-setup&limit=3
Agent prompt
Use mem-setup for this task. Review https://www.openagentskill.com/api/skills/thedotmack-mem-setup/install, then install with: npx skills add thedotmack/claude-mem --skill mem-setupRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/thedotmack-mem-setup
LLM text
/api/registry/manifest/thedotmack-mem-setup?format=text
Install alias
/api/registry/install/thedotmack-mem-setup
Recommend
/api/registry/recommend?task=Use%20mem-setup%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS93K GitHub stars
Stars/forks activity
PASS93K stars, 8.2K forks; issue activity unavailable in current metadata
Recent maintenance
PASS4d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Run multimodal agents that operate desktop interfaces
Connect agents to hundreds of workflow automations
利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
--- name: mem-setup description: > This skill should be used when the user asks to "set up claude-mem", "pair claude-mem", "connect cmem", "add my cmem key", "set up cloud sync in Cowork", or provides cmem.ai Connect values (sync token, user id, SyncHub URL) for this plugin. Configures the claude-mem-cowork plugin credentials. metadata: version: "0.1.0" ---
# Claude-Mem Setup (Cowork pairing)
Configure this plugin with the user's own cmem.ai credentials so hooks can capture and inject memory. Anyone can pair — credentials are per-user configuration, never hardcoded in plugin logic.
## What to collect
From **cmem.ai → Connect**, the user has three values:
1. **sync token** (starts with `cm_`) — used as the bearer API key 2. **user id** (UUID) 3. **SyncHub URL** (a workers.dev or cmem.ai URL)
If the user pastes the whole Connect blurb, extract the three values from it. If any are missing, ask for the sync token at minimum — the other two are optional.
## Secret handling — non-negotiable
- Never echo the token back in conversation, put it in a shell argv, or log it. - Move it only via file writes (Write/Edit tool) and file reads.
## Steps
1. Locate the installed plugin root (this skill's own plugin). Update its `config.json`: set `apiKey` to the sync token, `userId`, and `syncHubUrl`. Leave other settings unless the user asks (`inject` toggles). Project naming is automatic (`cmem_work_*`) and is not configurable. 2. Cowork containers are ephemeral: edits to the installed copy last only for this session. To make pairing permanent, repackage — zip the plugin directory as `<plugin-name>.plugin` and send it to the user to re-install (the cowork-plugin skill's packaging flow). Tell the user this is why. 3. If this machine also has a local claude-mem install (a `~/.claude-mem/` directory exists), optionally write the same values to `~/.claude-mem/settings.json` with mode 0600 (`CLAUDE_MEM_CLOUD_SYNC_TOKEN`, `CLAUDE_MEM_CLOUD_SYNC_USER_ID`, `CLAUDE_MEM_CLOUD_SYNC_HUB_URL` keys — the same keys the local claude-mem cloud-sync pairing writes) — the hook script and the local worker both read it. 4. Verify without exposing the secret:
```bash node "${CLAUDE_PLUGIN_ROOT}/scripts/cmem-hook.mjs" status ```
Report the masked output. A `MISSING` key means the write didn't land; a 404 on `/api/hooks/context` is expected until the Pro endpoints deploy (search/injection still work via `/api/mcp`).
## Alternate source
Env vars override everything and need no file edits: `CMEM_API_KEY`, `CMEM_USER_ID`, `CMEM_SYNC_HUB_URL`, `CMEM_API_BASE`.
Source provenance
Decision snapshot
93,017 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for mem-setup, ready for a manual X post.
A practical pick for a repeatable workflow: mem-setup: This skill should be used when the user asks to "set up claude-mem", "pair claude-mem", "connect cmem", "add my cmem key",... 93.0K stars https://www.openagentskill.com/skills/thedotmack-mem-setup?ref=x
Listing + install path for mem-setup: https://www.openagentskill.com/skills/thedotmack-mem-setup?ref=x Install: npx skills add thedotmack/claude-mem --skill mem-setup
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to thedotmack but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/thedotmack-mem-setup?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/thedotmack-mem-setup?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/thedotmack-mem-setup/audit)
[](https://www.openagentskill.com/skills/thedotmack-mem-setup?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)thedotmack
@thedotmack
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
37.0K Starsn8n
Connect agents to hundreds of workflow automations
194.1K StarsMoneyPrinterTurbo
利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.
88.5K StarsTasmota
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
24.7K StarsSandbox only
Install targets
Codex install prompt
Install the "mem-setup" agent skill from https://github.com/thedotmack/claude-mem/tree/main/cowork/skills/mem-setup. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: This skill should be used when the user asks to "set up claude-mem", "pair claude-mem", "connect cmem", "add my cmem key", "set up cloud sync in Cowork", or provides cmem.ai Connect values (sync token, user id, SyncHub URL) for this plugin. Configures the claude-mem-cowork plugin credentials. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"thedotmack-mem-setup","task":"Install mem-setup","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add thedotmack/claude-mem --skill mem-setup
Maintenance
fresh
4d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
93K
95/100 Quality · 80/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
93K GitHub stars
Repo activity
93K stars, 8.2K forks
Maintenance
4d since push
License
Apache-2.0
Install
npx skills add thedotmack/claude-mem --skill mem-setup
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add thedotmack/claude-mem --skill mem-setupDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20mem-setup%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20mem-setup%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/thedotmack-mem-setup/install
Agent should check
Copy prompt
Task: Use mem-setup in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20mem-setup%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/thedotmack-mem-setup/install
Install command: npx skills add thedotmack/claude-mem --skill mem-setup
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/thedotmack-mem-setup/install
LLM text format
/api/skills/thedotmack-mem-setup/install?format=text
Find alternatives
/api/skills/search?q=mem-setup&limit=3
Agent prompt
Use mem-setup for this task. Review https://www.openagentskill.com/api/skills/thedotmack-mem-setup/install, then install with: npx skills add thedotmack/claude-mem --skill mem-setupRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/thedotmack-mem-setup
LLM text
/api/registry/manifest/thedotmack-mem-setup?format=text
Install alias
/api/registry/install/thedotmack-mem-setup
Recommend
/api/registry/recommend?task=Use%20mem-setup%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS93K GitHub stars
Stars/forks activity
PASS93K stars, 8.2K forks; issue activity unavailable in current metadata
Recent maintenance
PASS4d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Run multimodal agents that operate desktop interfaces
Connect agents to hundreds of workflow automations
利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
--- name: mem-setup description: > This skill should be used when the user asks to "set up claude-mem", "pair claude-mem", "connect cmem", "add my cmem key", "set up cloud sync in Cowork", or provides cmem.ai Connect values (sync token, user id, SyncHub URL) for this plugin. Configures the claude-mem-cowork plugin credentials. metadata: version: "0.1.0" ---
# Claude-Mem Setup (Cowork pairing)
Configure this plugin with the user's own cmem.ai credentials so hooks can capture and inject memory. Anyone can pair — credentials are per-user configuration, never hardcoded in plugin logic.
## What to collect
From **cmem.ai → Connect**, the user has three values:
1. **sync token** (starts with `cm_`) — used as the bearer API key 2. **user id** (UUID) 3. **SyncHub URL** (a workers.dev or cmem.ai URL)
If the user pastes the whole Connect blurb, extract the three values from it. If any are missing, ask for the sync token at minimum — the other two are optional.
## Secret handling — non-negotiable
- Never echo the token back in conversation, put it in a shell argv, or log it. - Move it only via file writes (Write/Edit tool) and file reads.
## Steps
1. Locate the installed plugin root (this skill's own plugin). Update its `config.json`: set `apiKey` to the sync token, `userId`, and `syncHubUrl`. Leave other settings unless the user asks (`inject` toggles). Project naming is automatic (`cmem_work_*`) and is not configurable. 2. Cowork containers are ephemeral: edits to the installed copy last only for this session. To make pairing permanent, repackage — zip the plugin directory as `<plugin-name>.plugin` and send it to the user to re-install (the cowork-plugin skill's packaging flow). Tell the user this is why. 3. If this machine also has a local claude-mem install (a `~/.claude-mem/` directory exists), optionally write the same values to `~/.claude-mem/settings.json` with mode 0600 (`CLAUDE_MEM_CLOUD_SYNC_TOKEN`, `CLAUDE_MEM_CLOUD_SYNC_USER_ID`, `CLAUDE_MEM_CLOUD_SYNC_HUB_URL` keys — the same keys the local claude-mem cloud-sync pairing writes) — the hook script and the local worker both read it. 4. Verify without exposing the secret:
```bash node "${CLAUDE_PLUGIN_ROOT}/scripts/cmem-hook.mjs" status ```
Report the masked output. A `MISSING` key means the write didn't land; a 404 on `/api/hooks/context` is expected until the Pro endpoints deploy (search/injection still work via `/api/mcp`).
## Alternate source
Env vars override everything and need no file edits: `CMEM_API_KEY`, `CMEM_USER_ID`, `CMEM_SYNC_HUB_URL`, `CMEM_API_BASE`.
Source provenance
Decision snapshot
93,017 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for mem-setup, ready for a manual X post.
A practical pick for a repeatable workflow: mem-setup: This skill should be used when the user asks to "set up claude-mem", "pair claude-mem", "connect cmem", "add my cmem key",... 93.0K stars https://www.openagentskill.com/skills/thedotmack-mem-setup?ref=x
Listing + install path for mem-setup: https://www.openagentskill.com/skills/thedotmack-mem-setup?ref=x Install: npx skills add thedotmack/claude-mem --skill mem-setup
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to thedotmack but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/thedotmack-mem-setup?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/thedotmack-mem-setup?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/thedotmack-mem-setup/audit)
[](https://www.openagentskill.com/skills/thedotmack-mem-setup?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)thedotmack
@thedotmack
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
37.0K Starsn8n
Connect agents to hundreds of workflow automations
194.1K StarsMoneyPrinterTurbo
利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.
88.5K StarsTasmota
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
24.7K StarsSandbox only
Install targets
Codex install prompt
Install the "mem-setup" agent skill from https://github.com/thedotmack/claude-mem/tree/main/cowork/skills/mem-setup. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: This skill should be used when the user asks to "set up claude-mem", "pair claude-mem", "connect cmem", "add my cmem key", "set up cloud sync in Cowork", or provides cmem.ai Connect values (sync token, user id, SyncHub URL) for this plugin. Configures the claude-mem-cowork plugin credentials. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"thedotmack-mem-setup","task":"Install mem-setup","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add thedotmack/claude-mem --skill mem-setup
Maintenance
fresh
4d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
93K
95/100 Quality · 80/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
93K GitHub stars
Repo activity
93K stars, 8.2K forks
Maintenance
4d since push
License
Apache-2.0
Install
npx skills add thedotmack/claude-mem --skill mem-setup
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add thedotmack/claude-mem --skill mem-setupDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20mem-setup%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20mem-setup%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/thedotmack-mem-setup/install
Agent should check
Copy prompt
Task: Use mem-setup in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20mem-setup%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/thedotmack-mem-setup/install
Install command: npx skills add thedotmack/claude-mem --skill mem-setup
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/thedotmack-mem-setup/install
LLM text format
/api/skills/thedotmack-mem-setup/install?format=text
Find alternatives
/api/skills/search?q=mem-setup&limit=3
Agent prompt
Use mem-setup for this task. Review https://www.openagentskill.com/api/skills/thedotmack-mem-setup/install, then install with: npx skills add thedotmack/claude-mem --skill mem-setupRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/thedotmack-mem-setup
LLM text
/api/registry/manifest/thedotmack-mem-setup?format=text
Install alias
/api/registry/install/thedotmack-mem-setup
Recommend
/api/registry/recommend?task=Use%20mem-setup%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS93K GitHub stars
Stars/forks activity
PASS93K stars, 8.2K forks; issue activity unavailable in current metadata
Recent maintenance
PASS4d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Run multimodal agents that operate desktop interfaces
Connect agents to hundreds of workflow automations
利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
--- name: mem-setup description: > This skill should be used when the user asks to "set up claude-mem", "pair claude-mem", "connect cmem", "add my cmem key", "set up cloud sync in Cowork", or provides cmem.ai Connect values (sync token, user id, SyncHub URL) for this plugin. Configures the claude-mem-cowork plugin credentials. metadata: version: "0.1.0" ---
# Claude-Mem Setup (Cowork pairing)
Configure this plugin with the user's own cmem.ai credentials so hooks can capture and inject memory. Anyone can pair — credentials are per-user configuration, never hardcoded in plugin logic.
## What to collect
From **cmem.ai → Connect**, the user has three values:
1. **sync token** (starts with `cm_`) — used as the bearer API key 2. **user id** (UUID) 3. **SyncHub URL** (a workers.dev or cmem.ai URL)
If the user pastes the whole Connect blurb, extract the three values from it. If any are missing, ask for the sync token at minimum — the other two are optional.
## Secret handling — non-negotiable
- Never echo the token back in conversation, put it in a shell argv, or log it. - Move it only via file writes (Write/Edit tool) and file reads.
## Steps
1. Locate the installed plugin root (this skill's own plugin). Update its `config.json`: set `apiKey` to the sync token, `userId`, and `syncHubUrl`. Leave other settings unless the user asks (`inject` toggles). Project naming is automatic (`cmem_work_*`) and is not configurable. 2. Cowork containers are ephemeral: edits to the installed copy last only for this session. To make pairing permanent, repackage — zip the plugin directory as `<plugin-name>.plugin` and send it to the user to re-install (the cowork-plugin skill's packaging flow). Tell the user this is why. 3. If this machine also has a local claude-mem install (a `~/.claude-mem/` directory exists), optionally write the same values to `~/.claude-mem/settings.json` with mode 0600 (`CLAUDE_MEM_CLOUD_SYNC_TOKEN`, `CLAUDE_MEM_CLOUD_SYNC_USER_ID`, `CLAUDE_MEM_CLOUD_SYNC_HUB_URL` keys — the same keys the local claude-mem cloud-sync pairing writes) — the hook script and the local worker both read it. 4. Verify without exposing the secret:
```bash node "${CLAUDE_PLUGIN_ROOT}/scripts/cmem-hook.mjs" status ```
Report the masked output. A `MISSING` key means the write didn't land; a 404 on `/api/hooks/context` is expected until the Pro endpoints deploy (search/injection still work via `/api/mcp`).
## Alternate source
Env vars override everything and need no file edits: `CMEM_API_KEY`, `CMEM_USER_ID`, `CMEM_SYNC_HUB_URL`, `CMEM_API_BASE`.
Source provenance
Decision snapshot
93,017 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for mem-setup, ready for a manual X post.
A practical pick for a repeatable workflow: mem-setup: This skill should be used when the user asks to "set up claude-mem", "pair claude-mem", "connect cmem", "add my cmem key",... 93.0K stars https://www.openagentskill.com/skills/thedotmack-mem-setup?ref=x
Listing + install path for mem-setup: https://www.openagentskill.com/skills/thedotmack-mem-setup?ref=x Install: npx skills add thedotmack/claude-mem --skill mem-setup
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to thedotmack but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/thedotmack-mem-setup?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/thedotmack-mem-setup?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/thedotmack-mem-setup/audit)
[](https://www.openagentskill.com/skills/thedotmack-mem-setup?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)thedotmack
@thedotmack
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
UI-TARS Desktop
Run multimodal agents that operate desktop interfaces
37.0K Starsn8n
Connect agents to hundreds of workflow automations
194.1K StarsMoneyPrinterTurbo
利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.
88.5K StarsTasmota
Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
24.7K StarsPermission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
secrets or environment access, shell or command execution
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness